Senior Software Engineer

Job Description

The Opportunity

This is a role with the Platform Team that provides best practices, technical solutions, and governance of Kafka across the enterprise. We help other technical teams on their developer journey to event-driven awesomeness. We’re looking for a generalist who can write clean code, loves discussing and learning about great technical architecture, swoons at the thought of dissecting our Kafka automation framework, and can self-manage running with exploratory testing of ready tickets. **

In this role you’ll:**

• Work with a scrum team, attend agile ceremonies, and keep the team informed regularly on the progress of your tickets in the sprint.
• At times, create proof of concepts or investigate new functionality, plugins, or services.
• Help groom and estimate Stories for the next sprint.
• Take ownership of Stories from the Scrum Board and handle all aspects of that story: analyze requirements, design a solution, implement the code and unit tests, identify test scenarios, automate test scenarios, and deploy to all environments.
• Perform code reviews from other engineers to ensure the code quality is maintained.
• Configure and maintain the CI/CD pipeline for our deployments to each environment using various tools like: Jenkins, ArgoCD, Helm, Terraform, Ansible.
• Create and monitor alerts to ensure our services are running smoothly and that we proactively catch issues before users are impacted.
• Research and keep up to date on best practices and new functionality on our tools and vendors.
• Maintain and configure our Confluent Cloud clusters, and the tools we’ve built to simplify this.
• Maintain our Kafka Connect clusters and various Kafka Streams microservices in EKS.
• Provide support to other engineering teams, ensuring issues are investigated and resolved.

Here’s what you bring:

• 5+ years experience with Java 8+ and Spring Framework.
• 3+ years designing and developing microservices.
• 3+ years developing scalable, fault-tolerant software.
• 3+ years working with AWS services or the equivalent from another cloud provider.
• Experience working with Kafka clients, Kafka Connectors, and/or services using Kafka Streams.
• Experience administrating a Kafka Cluster is an asset.
• Experience working with Kubernetes.
• Experience with Terraform, ArgoCD, Helm, CircleCI, Ansible, Jenkins, or similar tools.
• Experience with log analysis and alerting tools like Datadog or Honeycomb.
• Experience using Jira and Confluence.
• Deep prior experience building software in a professional, multi-team, environment.
• Ability to learn quickly, and dive deep to understand functionality and complex integrations.
• Pride in the work that you do.
• Cares about customers and solving problems.